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DC ElementWertSprache
Autor*inTruong, Quoc-Dinh-
Autor*inVilla, Nathalie-
Autor*inRossi, Fabrice-
Datum2008-
Quellehttp://arxiv.org/abs/0805.1374-
URIhttps://www.amad.org/jspui/handle/123456789/71701-
BeschreibungThis paper briefly presents several ways to understand the organization of a large social network (several hundreds of persons). We compare approaches coming from data mining for clustering the vertices of a graph (spectral clustering, self-organizing algorithms. . .) and provide methods for representing the graph from these analysis. All these methods are illustrated on a medieval social network and the way they can help to understand its organization is underlined.-
Spracheunknown-
SchlagwörterStatistics - Applications-
SchlagwörterPhysics - Physics and Society-
SchlagwörterMathematics - Statistics Theory-
Dewey-Dezimalklassifikation940-
TitelMining a medieval social network by kernel SOM and related methods-
Typtext-
AMAD ID567533-
Jahr2008-
Open Access1-
Enthalten in den Sammlungen:BASE (Bielefeld Academic Search Engine)
General history of Europe


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